Data analytics offers a principled approach to examining data and making it a valuable resource for understanding complex interactions and improving operations. The training community has unique needs and obstacles when attempting to implement a standard data analytics approach.  New technology and emerging standards such as xAPI enable the collection of data from a variety of training sources, including student records, training devices, student performance during training, and student daily activities.  The collection, preparation, integration, and understanding of this wealth of data present many obstacles as well as opportunities. This workshop will provide an overview of common and emerging data analytics methods as they relate to training data, as well as how they can be applied to enable and support a learning ecosystem, including competency based learning and adaptive learning. Although this is not a class on how to use Artificial Intelligence (AI) or xAPI, we will touch on how these topics relate to data analytics.  One main focus will be the challenges associated with applying standard data analytics methods in a military training environment. Other topics covered will include how to prepare, transform, and store data for analysis, opportunities in data visualization, the role of learning analytics in competency-based learning, and privacy issues.